Evidence map›Paper›PMID 27419029›Full record

ArticlePreventive medicine reports2016

Influence of cigarette smoking and inflammatory gene polymorphisms on glycated hemoglobin in the Japanese general population.

Yuichiro Nishida, Megumi Hara, Tatsuhiko Sakamoto, Koichi Shinchi, Sayo Kawai, Mariko Naito, Nobuyuki Hamajima, Aya Kadota, Sadao Suzuki, Rie Ibusuki and 8 more

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 12 institutions in 1 country.

Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Tatsuhiko SakamotoTosu Public Health and Welfare Office, Saga Prefectural Government, 1234-1 Moto-machi, Tosu 841-0051, Japan.
Koichi ShinchiDivision of International Health and Nursing, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Sayo KawaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan.
Mariko NaitoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan.
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan.
Aya KadotaCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Setatsukinowa-cho, Otsu 520-2192, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Science, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya 467-8601, Japan.
Rie IbusukiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Science, 8-35-1 Sakuragaoka, Kagoshima 890-8544, Japan.
Akie HirataDepartment of Geriatric Medicine, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maedashi, Higashi-ku, Fukuoka 812-8582, Japan.
Miwa YamaguchiDepartment of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan.
Nagato KuriyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachidori Hirokojiagaru, Kamigyo-ku, Kyoto 602-8566, Japan.
Isao OzeDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya 464-8681, Japan.
Haruo MikamiDivision of Cancer Registry, Prevention and Epidemiology, Chiba Cancer Center, 666-2 Nitona-cho, Chuo-ku, Chiba 260-8717, Japan.
Michiaki KuboLaboratory for Genotyping Development, Center for Genomic Medicine, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.
Hideo TanakaDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya 464-8681, Japan.
Japan Multi-Institutional Collaborative Cohort (J-MICC) Study Group
Nagoya University · JPSaga University · JPAichi Cancer Center · JPChiba Cancer Center · JPKagoshima University · JPKyoto Prefectural University of Medicine · JPKyushu University · JPNagoya City University · JPOsaka Prefectural Government · JPRIKEN Center for Integrative Medical Sciences · JPShiga University of Medical Science · JPTokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInflammation is closely involved in the development of type 2 diabetes, and cigarette smoking acts as potent inducer of inflammation. We therefore investigated interactions between inflammation-related gene polymorphisms and cigarette smoking on glycated hemoglobin (HbA1c) in the Japanese general population.

methodWe conducted a cross-sectional study using data collected from 2619 Japanese (1274 males and 1345 females) 40-69 years of age who participated in baseline survey of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study (2005-2008). Eight polymorphisms in seven genes (interleukin [IL]-1β, IL-2, IL-4, IL-8, IL-10, IL-13 and tumor necrosis factor-α) were determined using the Invader assay. The interactions of smoking and gene polymorphisms on HbA1c levels were analyzed using multiple linear and logistic regression models and analysis of covariance with adjustment for potential confounders.

resultsAmong the eight polymorphisms, only one significant interaction was detected for IL-1β T-31C (P < 0.0001). Among the subjects carrying TT genotype, current heavy smokers (≥ 20 cigarettes/day) had higher HbA1c (5.83 [95% confidence interval 5.67-5.99] %) versus all other smoking status groups (never 5.49 [5.41-5.56] %, former 5.54 [5.43-5.65] %, current moderate [< 20 cigarettes/day] 5.50 [5.30-5.69] %), whereas such differences were not observed in the subjects with C allele. The logistic regression analyses regarding high-normal HbA1c levels showed a similar pattern of results.

conclusionSmoking status did not interact with any other inflammation-related polymorphisms except for IL-1β T-31C. Heavy smokers harboring the TT genotype of IL-1β T-31C polymorphism show a greater adverse effect of smoking on HbA1c levels among Japanese middle-aged subjects.

Indexed as

Cigarette smokingGene–environmental interactionGene polymorphismGlycated hemoglobinInflammatory cytokine

Identifiers

PMID27419029
PMCPMC4929182
OpenAlexW2307533706

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.